Security Scan Report: zimbrawebmailclientsignin.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://zimbrawebmailclientsignin.netlify.app/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Zimbra Web Client login on a netlify.app subdomain that impersonates Zimbra and harvests usernames/passwords, with a Telegram bot token used to exfiltrate captured credentials. Do not enter credentials.

Risk Factors (6)
Brand impersonation of Zimbra on a hosting-platform subdomain not controlled by Zimbra/Synacor
Credential-harvesting login form (username + password)
Telegram bot token embedded in page script — credential exfiltration channel
IP-harvesting cross-origin request to api.ipify.org
Single-source phishing threat-intel match on the primary domain
Shared hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'zimbrawebmailclientsignin.netlify.app' is registered, featuring subdomain 'zimbrawebmailclientsignin'. The second-level label 'netlify' is 7 characters long holding two vowels versus 5 consonants. It segments into 3 words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Web Client Usemame: Password: M stay signed in Sign In Version: BREUER wn: Zimbra :: the leader in open source messaging and collaboration :: Blog - Wiki - Forums Copyright © 2005-2019 Synacor,...

Page Load Overview

1.36s
Total Load Time
17 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:354 chars
Detector Agreement:50%

Website Classification

Primary Category

forum community discussion39% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
39%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189D1B69B52F304516957A0782BB6970132A6C5039907CC153EEC53DC8F8AE9ADAF37CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:DqfCrUuR9efR4mECRcbKZbJFOx9/rAOg+IU+9iK:5fhrTIU+9iK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6648:jAIKKQyoUgIDAQEkoADuQEEUByAEJJEGC2XJBDGBSASChwBDAALAERpWoEKAGKYEmQAwAyCCEhElFEJ4UaUkBAYGQEAA3IQC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffc7c7c3e7ffff
Perceptual Hash:a633c9cc33996666
Difference Hash:300c4d4d4d4d320c
Wavelet Hash:00000000c3c3ffff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data